Arm has unveiled two new IP cores designed to power machine learning in endpoint devices, IoT devices and other low-power, cost-sensitive applications. The Cortex-M55 microcontroller core is the first to use Arm's Helium vector processing technology, while the Ethos-U55 machine learning accelerator is a micro-version of the company's existing Ethos NPU (neural processing unit) family. The two cores are designed to be used together, though they can also be used separately. Enabling AI and machine learning applications on microcontrollers and other cost-sensitive, low-power resource-constrained devices is known as the tinyML sector. With the rise of 5G initiating a trend for more intelligence in endpoint devices, tinyML is expected to grow exponentially into a market that encompasses billions of consumer and industrial systems.